Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming

Eva Alfaro-Cid, Alberto Cuesta-Cañada, Ken Sharman, Anna Esparcia-Alcázar. Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming. In Anthony Brabazon, Michael O Neill, editors, Natural Computing in Computational Finance. Volume 100 of Studies in Computational Intelligence, pages 161-185, Springer, 2008. [doi]

@incollection{Alfaro-CidCSE08,
  title = {Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming},
  author = {Eva Alfaro-Cid and Alberto Cuesta-Cañada and Ken Sharman and Anna Esparcia-Alcázar},
  year = {2008},
  doi = {10.1007/978-3-540-77477-8_9},
  url = {http://dx.doi.org/10.1007/978-3-540-77477-8_9},
  tags = {programming, genetic programming},
  researchr = {https://researchr.org/publication/Alfaro-CidCSE08},
  cites = {0},
  citedby = {0},
  pages = {161-185},
  booktitle = {Natural Computing in Computational Finance},
  editor = {Anthony Brabazon and Michael O Neill},
  volume = {100},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-540-77476-1},
}